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Neel Joshi Profile
Neel Joshi

@neelsj

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Researcher at Microsoft working in computer vision and machine learning

Seattle, WA, USA
Joined April 2009
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@neelsj
Neel Joshi
5 months
My team at Microsoft Research, working in multimodal, AI is hiring! Please apply if you are interested in working at the cutting edge of multimodal generative AI.
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@vidhisha_b
Vidhisha Balachandran
6 months
📌 You can now find all the evaluation logs (and reasoning traces for common benchmarks!) from our inference-time scaling report and the Phi-4 reasoning report at  https://t.co/skNOjClLxQ. The evaluation code can be found at Eureka ML Insights: https://t.co/FjviLeU889.
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github.com
A framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings. - microsoft/eureka-ml-insights
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@AhmedHAwadallah
Ahmed Awadallah
7 months
One of the secret weapons we had in doing the phi-4-resoning report is Eureka: https://t.co/Ncp7ZhbQr9 Eureka and our eval team have been doing an amazing job with adding new benchmarks to doing deeper analysis of results beyond single-score statistics.
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github.com
A framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings. - microsoft/eureka-ml-insights
@DimitrisPapail
Dimitris Papailiopoulos
7 months
BTW when you test AIME or HMMT, or anything that has ~30 questions, PLEASE DO 50-100 runs, and report error bars!! The pass at 1 for 5 runs is super noisy... Look at the variance even for 50 runs
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@DimitrisPapail
Dimitris Papailiopoulos
7 months
We’ve been cooking... a new open weights 14B Phi-4 reasoning model, SFT’d on ~1.4M carefully curated reasoning demonstrations from o3-mini and RL’d for a tiny bit. This model is a little beast.
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@suriyagnskr
Suriya Gunasekar
7 months
I am thrilled to share our newest Phi models. This time we went all in on post-training to produce Phi-4-reasoning (SFT only) and Phi-4-reasoning-plus (SFT + a touch of RL) — both 14B models that pack a punch in a small size across reasoning and general purpose benchmarks🧵
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@JohnCLangford
John Langford
9 months
A new post: Headroom for AI Development https://t.co/smJu33g02M . It's quite interesting to compare biological and silicon capabilities.
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@MSFTResearch
Microsoft Research
10 months
Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows. Learn more: https://t.co/N7iSeR7ZJk
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@neelsj
Neel Joshi
1 year
Excited to announce the release of Eureka, an open-source framework for evaluating and understanding large language and multimodal models! I’m really proud of the team. This is important work and crucial to have it be public and open.
@MSFTResearch
Microsoft Research
1 year
How can we rigorously evaluate and understand state-of-the-art progress in AI? Eureka is an open-source framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings. Learn more about the extended findings. https://t.co/3MM6aZn09O
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@taeinkwon1
Taein Kwon
2 years
I am delighted to announce our HoloAssist challenges at the EgoVis ( https://t.co/YnOMwbXH6v) #CVPR2024 workshop. HoloAssist is a large-scale egocentric human interaction dataset, where two people collaboratively complete physical manipulation tasks using HoloLens2.
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@ecekamar
Ece Kamar
2 years
Join us in shaping the future of AI! AI Frontiers is a lab inside Microsoft Research with a mission to unlock new AI capabilities and solve real-world problems. We are hiring researchers and engineers in our teams based in Redmond and NYC. Apply here:
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microsoft.com
Mission of AI Frontiers Expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Opens in a new tab
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@besanushi
Besmira Nushi 💙💛
2 years
📣Spring hiring: AI Frontiers at Microsoft Research is looking for researchers passionate about in-depth understanding and rigorous evaluation of foundation models and multi-agent systems: https://t.co/P6Q3EcQcBy. Learn more about the group here: https://t.co/z0dIvqsq3l. This
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@MSFTResearch
Microsoft Research
2 years
HoloAssist is a new multimodal dataset consisting of 166 hours of interactive task executions with 222 participants. Discover how it offers invaluable data to advance the capabilities of next-gen AI copilots for real-world tasks: https://t.co/LQ6lFQxLrh
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@Phillies
Philadelphia Phillies
3 years
It's been an unbelievable journey. We didn't just hear your support, we felt it. None of this would have been possible without you. Thank you for everything.
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@Phillies
Philadelphia Phillies
3 years
Halloween at the Bank #RedOctober x #WorldSeries
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@Phillies
Philadelphia Phillies
3 years
Game Three.
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@neelsj
Neel Joshi
3 years
Grr, @AmericanAir cancelled our held reservation before the time the email said it was held for. Had to book a new ticket and it cost us $400 more. What’s the purpose of providing an option to hold tickets if you don’t actually hold them?!?
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@neelsj
Neel Joshi
4 years
The Computer Vision Group @ MSR Redmond is hiring interns. Please spread the word and apply if you are interested! @MSFTResearch
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@MSFTResearch
Microsoft Research
4 years
How can we fully leverage online videos for self-supervised learning? Today, we are releasing ACAV100M, an automatic dataset curation pipeline and the largest video dataset for self-supervised video representation learning. https://t.co/QA8wMy8WVn
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@MSFTResearch
Microsoft Research
4 years
At Microsoft Research, we aim to empower the next generation of exceptional computing research talent. Today, we're thrilled to announce and congratulate this year's Microsoft Research PhD Fellowship recipients from around the world: https://t.co/pg6IpkiDEf
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